Mel Campbell
Impact in
Papers in
- Oncology 23
- Viral-associated cancers and disorders 19
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- Ubiquitin and proteasome pathways 5
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Co-authors
- Barbara K. Felber (4 shared papers)George N. Pavlakis (4 shared papers)Yoshihiro Izumiya (19 shared papers)George Nasioulas (2 shared papers)Pei‐Ching Chang (18 shared papers)Hsing-Jien Kung (12 shared papers)Ralf Schneider (1 shared paper)Stefan Schwartz (1 shared paper)
- Journals
- Journal of Virology (13 papers)PLoS Pathogens (4 papers)Frontiers in Microbiology (3 papers)Scientific Reports (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Mel Campbell
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 87
- Virology 499
- Oncology 521
- Cancer Research 253
- Epidemiology 517
- Immunology 299
Countries citing papers authored by Mel Campbell
This map shows the geographic impact of Mel Campbell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mel Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mel Campbell more than expected).
Fields of papers citing papers by Mel Campbell
This network shows the impact of papers produced by Mel Campbell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mel Campbell. The network helps show where Mel Campbell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mel Campbell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 231 | |
| 2 | 1997 | 222 | |
| 3 | 1990 | 121 | |
| 4 | 1990 | 79 | |
| 5 | 2009 | 78 | |
| 6 | 2016 | 63 | |
| 7 | 2013 | 56 | |
| 8 | 2018 | 56 | |
| 9 | 2013 | 53 | |
| 10 | 2011 | 52 | |
| 11 | 2013 | 51 | |
| 12 | 2016 | 51 | |
| 13 | 1994 | 48 | |
| 14 | 2017 | 47 | |
| 15 | 2011 | 46 | |
| 16 | 2017 | 39 | |
| 17 | 2012 | 37 | |
| 18 | 2017 | 35 | |
| 19 | 2020 | 32 | |
| 20 | 2017 | 29 |
About Mel Campbell
Mel Campbell is a scholar working on Oncology, Molecular Biology, Epidemiology, Cancer Research and Virology, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (19 papers), Cytomegalovirus and herpesvirus research (11 papers), HIV Research and Treatment (10 papers), Cancer-related molecular mechanisms research (10 papers), Herpesvirus Infections and Treatments (9 papers), Ubiquitin and proteasome pathways (5 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Virology (499 citations), Oncology (521 citations), Cancer Research (253 citations), Epidemiology (517 citations) and Immunology (299 citations). Mel Campbell has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Barbara K. Felber, George N. Pavlakis, Yoshihiro Izumiya, George Nasioulas, Pei‐Ching Chang, Hsing-Jien Kung, Ralf Schneider, Stefan Schwartz, Paul A. Luciw and Chie Izumiya. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Frontiers in Microbiology, Scientific Reports and Cell Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.